Software Engineer II, Data - Level 2

Company Overview

WEX is an innovative global commerce platform and payments technology company looking to forge the way in a rapidly changing environment, to simplify the business of doing business for customers, freeing them to spend more time, with less worry, on the things they love and care about. We are journeying to build a consistent world-class user experience across our products and services and leverage customer-focused innovations across all our strategic initiatives, including big data, AI, and Risk.

Position Summary

We are seeking a highly motivated Software Engineer to join our Data team and make a significant impact on the business while advancing your career.

This is an exciting time to be part of the Data team at WEX. WEX offers sophisticated business solutions that empower a diverse range of customers. The data generated from these systems, applications, and platforms is rich and complex. As one of the most valuable assets of WEX, this data holds immense potential to drive value for our customers and the business.

The Data team's mission is to build big data technologies, platforms, systems, and tools that clean, process, enrich, and optimize core company data, making it easy and efficient to use. This enables both our customers and internal teams to unlock business value. We also create value-added data products for WEX customers. Leveraging modern big data and AI technologies, we employ agile development practices, a combined engineering approach, and the product operating model to drive innovation and efficiency.

We provide challenging problems that have significant business impact, offering you opportunities to learn and grow. Our team consists of highly skilled engineers and leaders who will support, guide, and coach you throughout your journey.

If you're driven to become a strong engineer capable of solving complex problems, delivering impactful solutions, and growing quickly, this is the ideal opportunity for you!.

Responsibilities:

• Collaborate with partners and stakeholders to understand customer business needs and key challenges.

• Design, test, code, and implement data products, systems, platforms, and pipelines of small to medium complexity.

• Use data effectively to measure, inspect, and drive informed decisions.

• Develop and maintain CI/CD automation using tools like GitHub Actions.

• Implement Infrastructure as Code (IaC) with tools like Terraform, managing and provisioning cloud-based data infrastructure.

• Apply Test-Driven Development (TDD), Behavior-Driven Development (BDD), and work with Microservice and event-driven architectures.

• Support live data products, systems, and pipelines, ensuring proactive monitoring, data quality, rapid incident response, and continuous improvement.

• Analyze data, existing systems, and processes to identify bottlenecks and improvement opportunities.

• Mentor and learn from peers, fostering continuous learning of new technologies within the team and organization.

• Understand and apply team processes and best practices to assigned tasks. Ensure your solutions effectively address customer and business problems in a reliable and sustainable way.

• Collaborate with team members on development and problem-solving initiatives.

• Independently complete tasks of small to medium complexity and seek feedback from senior engineers to ensure high quality.

• Participate in technical discussions, proactively review peer work, and continuously learn.

• Build reliable, secure, efficient, and scalable big data platforms and tools that support data ingestion, processing, serving, delivery, and data governance needs.

• Learn and build systems, platforms, and tools for end-to-end data lifecycle management, including ingestion, cleaning, processing, enrichment, optimization, and serving.

• Build and maintain data quality measurement and monitoring systems, metadata management, and Master Data Management (MDM) solutions.

• Effectively use big data technologies, tools, and software packages while ensuring seamless integration with WEX systems.

• Learn and apply data modeling techniques to design and implement efficient and user-friendly data models and structures.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field, OR demonstrable equivalent understanding, experience, and capability.

• A Master's or PhD in Computer Science (or related field), or 2+ years of professional software engineering experience.

• Strong problem-solving, communication, and collaboration skills.

• Self-motivated and eager to learn, continuously exploring new technologies to improve productivity and the quality of deliverables. For example, proactively exploring GenAI technologies to enhance work efficiency and quality, as well as building innovative products for customers.

• Ability to design solutions for medium-scale problems or components.

• Experience with and a solid understanding of CI/CD automation.

• Strong programming skills in languages such as Java, C#, Go, and Python, including coding, automated testing, performance measurement, and monitoring. Familiarity with the TDD approach.

• Passionate about data, big data technologies, and cloud technologies.

• A keen interest in understanding and solving customer and business problems.

• Some understanding of data ingestion, cleaning, processing, enrichment, serving, and quality assurance techniques and tools, such as SQL, relational algebra, database systems, and ELT processes.

• Knowledge of data warehousing concepts and dimensional modeling is a plus.

Preferred Qualifications:

• Experience in building data pipelines with cloud-native ingestion, orchestration, and transformation applications, leveraging tools and services like Airflow, DBT, AWS glue , Kafka, AWS kinesis etc

• Solid understanding of Scrum principles and practices.

• Strong knowledge of Agile frameworks such as SAFe, LeSS, or Disciplined Agile Delivery (DAD), with the ability to coach team members and promote Agile best practices.